10 May 2026 · Robin Oruman
Instant quote tools for UK window cleaners · the buyer's guide
An honest comparison of quoting tools UK window-cleaning operators actually use. Where Squeegify fits, where Squeegee + Jobber + Commusoft are stronger, and what the tradeoffs are.
The single biggest leak in a window-cleaning round is the gap between an enquiry landing on your website and the first reply you send. Twenty-four hours typical. Forty-eight if the enquiry came in over the weekend. Most enquiries shop two or three cleaners; whoever replies first usually wins. The honest answer to "how do I quote faster" is to take yourself out of the loop entirely.
Here is the actual landscape, written from the seat of an operator running a small round in the East of England.
What's available
There are roughly four buckets.
Manual quoting. You read the enquiry, reply with a number based on the postcode and a guess. Free. Slow. Inconsistent across customers. The cleaner who does this for ten years builds a private mental model that's actually pretty accurate; the trade is that they're tied to their phone.
Field-management software with a quote bolt-on. Squeegee is the dominant UK player. Jobber is the international one. Commusoft is the enterprise option. These were built around scheduling, invoicing, and route optimisation. Quoting is a feature, but it expects you (the operator) to be the one doing it. They don't do "customer types address, gets a £ price" · they do "operator opens a customer record, picks the service, generates a quote PDF".
Lead-gen marketplaces. Bark, Checkatrade, and similar. They sell you leads from their inbox. The quote happens off-platform; their job is just delivering you contact details. You pay per lead and compete with three other operators for every one.
Instant quote engines. This is the new category. Squeegify is one. The customer types their address; the engine reads the property from satellite + street view; a £ price locks in 10 seconds. The operator never touches the quote unless they want to override it.
When Squeegee is the right buy
Squeegee is genuinely good at what it does: route planning, recurring schedules, customer database with payment history, GPS tracking when you scale to multiple vans. If your bottleneck is co-ordinating five cleaners across a city, Squeegee is the right buy and Squeegify is not a substitute.
A lot of operators run both: Squeegify at the front of the funnel feeding Squeegee at the back. The operators who only run one usually pick Squeegee if their pain is "the round is hard to schedule" and Squeegify if their pain is "I'm losing enquiries to the competitor who replied first".
When Jobber is the right buy
Jobber is broader than Squeegee · it covers landscapers, plumbers, painters, the full trades stack. The breadth is the point. If your business does more than just window cleaning (gutters, fascias, roof cleaning, pressure washing), Jobber's invoicing and customer relationship features cover more ground than Squeegee's window-specific tooling.
Jobber's contact form on the customer side is manual: visitor types details, you reply by hand. Same gap as Squeegee. If that gap is the bottleneck, Squeegify in front of Jobber is the layer.
When Commusoft is the right buy
Commusoft is enterprise-grade compliance software. Gas Safe certificate management, asset registers, SLA reporting. If you're running a regulated trade · gas, electrical, or any service where compliance documentation is the job · Commusoft is unmatched. Window cleaning isn't a regulated trade in the UK, so most operators don't need it. The ones who do are usually multi-trade businesses where window cleaning is a side service.
When Squeegify is the right buy
The narrow case: your bottleneck is the moment between a homeowner's enquiry and your reply.
Concretely:
- You have a website. It has a contact form, or a phone number, or both. - Most enquiries arrive outside working hours. - You reply same-day if you're lucky, next-day usually, never within 30 seconds. - Your conversion rate from enquiry to booked job is somewhere between 20% and 40%.
Operators who switch to instant quoting see contact-form conversion roughly triple. Reply latency drops from 24 hours to 10 seconds. The customer who would have shopped your competitor while waiting for your callback never shops anyone · they book the locked quote.
What it costs
Solo plan is £149/month. Up to 100 quotes a month. One website. Email + booking confirmations. The break-even is one extra job a month at a £150 quote. Most operators clear that in week one.
Operator plan is £299/month, 500 quotes a month, 4-angle satellite read, auto-reverify on low-confidence quotes. Built for a couple of vans.
Fleet is £599/month, unlimited quotes, the highest-accuracy AI tier, max-radius satellite imagery. Built for regional operators running multi-van rounds.
All plans share: 14-day free trial with a card on file, monthly or annual billing (annual saves 25%), no per-lead fees ever, embed on any website that lets you paste a script tag.
What you should do next
If you're still hand-replying to enquiries: try the live demo at squeegify.co.uk/demo. Type a real address you know · your own, a customer's, anywhere. See what the engine says. If the count is within ±2 windows of what you'd quote in person, you've answered the only question that matters.
If the demo lands the count: install the script tag on your site (one line of HTML, sixty seconds, works on WordPress / Wix / Webflow / Squarespace / Shopify / Carrd / plain HTML). The next enquiry won't wait twenty-four hours; it'll be a booked job before you finish lunch.
If the demo misses by 5+ windows: email Robin at rroruman@gmail.com. The model improves on every miss someone reports back.
On the accuracy claims
The pricing page deliberately uses non-numeric language ("typically within ±2 windows on standard residential") rather than precise percentages. The reason: the formal benchmark dataset is being assembled · 50 verified UK addresses with ground-truth window counts from real site visits. Once it's populated and a full run completes, the page will show measured numbers + a footnote pointing at /methodology. Until then we'd rather underclaim than fabricate.
The customer's own count is always authoritative on the customer-facing quote regardless. The AI read sits in the operator's pre-arrival brief as an audit trail; it never overrules the customer's number. We don't want operators arguing with customers over a count the AI got wrong.